Industrial symbiosis promoting material exchanges in Ulan Buh Demonstration Eco-industrial Park: A multi-objective MILP model

Industrial symbiosis (IS), which is a concept that allows enterprises to reduce material consumption and production cost, is widely used to optimize eco-industrial parks (EIPs). However, the IS formed in different regions and industrial fields may have different performances in terms of environmenta...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of cleaner production Jg. 414; S. 137578
Hauptverfasser: Yu, Hao, Da, Lin, Li, Yalun, Chen, Yanqiong, Geng, Qingdan, Jia, Zhibin, Zhang, Yun, Li, Jinhua, Gao, Caixia
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 15.08.2023
Schlagworte:
decision making
Desertification
environmental impact
Industrial ecology
industrial symbiosis
Industrial symbiosis optimization
Multi-objective mixed-integer linear programming
raw materials
Sustainability
sustainable development
Ulan buh desert
Industrial ecology
Multi-objective mixed-integer linear programming
Sustainability
Industrial symbiosis optimization
Ulan buh desert
Desertification
ISSN:0959-6526, 1879-1786
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Industrial symbiosis (IS), which is a concept that allows enterprises to reduce material consumption and production cost, is widely used to optimize eco-industrial parks (EIPs). However, the IS formed in different regions and industrial fields may have different performances in terms of environmental, economic, and social aspects, and few studies are focusing on the IS optimization of material exchange relationships in EIPs in desert areas. Therefore, a multi-objective mixed-integer linear programming (MILP) model is proposed in the present study to optimize the environmental, economic, and social objectives of IS in Ulan Buh Demonstration Eco-industrial Park (UBD-EIP). Then the model is solved using the augmented ε-constraint method and 20 efficient solutions are obtained. The results show that the construction of IS can reduce the environmental impact by 50.24%–50.79%, decrease the operating costs by 42.95%–43.57%, and create a considerable number of job opportunities. The trade-off between environmental and economic objectives suggests that an increase in priority for economic objectives results in higher levels of raw material consumption and waste emissions. The proposed model can help decision-makers of EIPs to choose appropriate material exchange relationships according to objective priority choices. This article enriches the types of objective functions for multi-objective optimizations and provides a reference for IS optimization and sustainable development of industries in desert areas and mixed agricultural-industrial systems. [Display omitted] •A multi-objective MILP model is proposed considering sustainability in desert areas.•IS is optimized in the EIP of desert areas based on field investigation data.•IS can improve environmental and economic performance and provide considerable jobs.•Raw material use and waste emissions increase as economic objective priority rises.•Changes in production sector capacity affect the IS structure significantly.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0959-6526
1879-1786
DOI:10.1016/j.jclepro.2023.137578